Add Agility
Data engineer databricks
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Rate: £530 per day IR35: Outside IR35 Duration: Until Christmas 2026 Commitment: 5 days per week Location: Hybrid – 2 days per week in London, 3 days remote Requirements: Have the right to work in the UK.
The Role
The core challenge is to extract data from Azure DevOps, transform it in Databricks, and create reliable, reusable datasets that can power a comprehensive metrics dashboard across a large number of technology teams.
You will be working for Add Agility, a consultancy that solves problems for clients, and working with one or more of our clients based in central London.
This is primarily a Databricks and data engineering role. The wider environment also includes Palantir Foundry data visualization, but deep Palantir expertise is not required. Other members of the team can support with Palantir-specific elements.
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What You'll Be Doing
- Extracting data from Azure DevOps
- Working with Azure DevOps APIs and/or Analytics data
- Building robust ingestion pipelines into Databricks
- Understanding and transforming Azure DevOps work-item and historical data
- Creating clean, reusable datasets for reporting and analytics
- Building calculations for engineering and delivery metrics
- Creating reliable data models and tables that can be consumed by the dashboard layer
- Improving data quality, validation, and monitoring
- Working alongside product, engineering, and client stakeholders to turn metric definitions into working data products
- Creating components and approaches that can be reused across future implementations
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This is a hands-on engineering role. We need someone who can understand the underlying Azure DevOps data, build the pipelines and transformations, and turn it into a robust data layer from which meaningful engineering metrics can be calculated.
The initial engagement runs five days per week until Christmas 2026, with two days per week working with the team in London and three days remote.
£530/day – Outside IR35.
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